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  • 标题:Molecular generative model based on conditional variational autoencoder for de novo molecular design
  • 本地全文:下载
  • 作者:Jaechang Lim ; Seongok Ryu ; Jin Woo Kim
  • 期刊名称:Journal of Cheminformatics
  • 印刷版ISSN:1758-2946
  • 电子版ISSN:1758-2946
  • 出版年度:2018
  • 卷号:10
  • 期号:1
  • 页码:31
  • DOI:10.1186/s13321-018-0286-7
  • 语种:English
  • 出版社:BioMed Central
  • 摘要:We propose a molecular generative model based on the conditional variational autoencoder for de novo molecular design. It is specialized to control multiple molecular properties simultaneously by imposing them on a latent space. As a proof of concept, we demonstrate that it can be used to generate drug-like molecules with five target properties. We were also able to adjust a single property without changing the others and to manipulate it beyond the range of the dataset.
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